Revision: 20412
http://sourceforge.net/p/gate/code/20412
Author: gate-project
Date: 2024-10-15 11:04:31 +0000 (Tue, 15 Oct 2024)
Log Message:
-----------
[diana] fixing some broken arxiv links
Modified Paths:
--------------
gate/trunk/doc/papers.html
gate/trunk/doc/papers.yam
Modified: gate/trunk/doc/papers.html
===================================================================
--- gate/trunk/doc/papers.html 2024-10-15 11:01:19 UTC (rev 20411)
+++ gate/trunk/doc/papers.html 2024-10-15 11:04:31 UTC (rev 20412)
@@ -128,12 +128,12 @@
</ul>
<ul>
-<li>W. Thorne, A. Robinson, B. Peng, C. Lin, D. Maynard (2024) Increasing the
Difficulty of Automatically Generated Questions via Reinforcement Learning with
Synthetic Preference. Proc oftThe 4th International Conference on Natural
Language Processing for Digital Humanities – NLP4DH 2024. <a
class="cow-url" href="arXiv preprint https:/arxiv.org/pdf/2410.08289">arXiv
preprint https://arxiv.org/pdf/2410.08289</a></li>
+<li>W. Thorne, A. Robinson, B. Peng, C. Lin, D. Maynard (2024) Increasing the
Difficulty of Automatically Generated Questions via Reinforcement Learning with
Synthetic Preference. Proc oftThe 4th International Conference on Natural
Language Processing for Digital Humanities – NLP4DH 2024. <a
class="cow-url" href="https://arxiv.org/pdf/2410.08289";>arXiv pre-print</a></li>
</ul>
<h3 class="cow-heading">Pre-print</h3>
<ul>
-<li>Leite, J. A., Razuvayevskaya, O., Bontcheva, K., & Scarton, C. (2024)
EUvsDisinfo: a Dataset for Multilingual Detection of Pro-Kremlin Disinformation
in News Articles <a class="cow-url" href="arXiv preprint
arXiv:2406.12614">arXiv preprint arXiv:2406.12614</a></li>
+<li>Leite, J. A., Razuvayevskaya, O., Bontcheva, K., & Scarton, C. (2024)
EUvsDisinfo: a Dataset for Multilingual Detection of Pro-Kremlin Disinformation
in News Articles <a class="cow-url" href="https://arXiv:2406.12614";>arXiv
pre-print</a></li>
</ul>
<ul>
@@ -145,7 +145,7 @@
</ul>
<ul>
-<li>Y. Jiang, T. Wang, X. Xu, Y. Wang, X. Song & D. Maynard (2024).
Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection. <a
class="cow-url" href="arXiv preprint arXiv:2407.12880">arXiv preprint
arXiv:2407.12880</a></li>
+<li>Y. Jiang, T. Wang, X. Xu, Y. Wang, X. Song & D. Maynard (2024).
Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection. <a
class="cow-url" href="arXiv:2407.12880">arXiv pre-print</a></li>
</ul>
<h3 class="cow-heading">Other</h3>
<ul>
Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam 2024-10-15 11:01:19 UTC (rev 20411)
+++ gate/trunk/doc/papers.yam 2024-10-15 11:04:31 UTC (rev 20412)
@@ -63,17 +63,17 @@
- Yue Li and Carolina Scarton. 2024. Can We Identify Stance without Target
Arguments? A Study for Rumour Stance Classification. In Proceedings of the 2024
Joint International Conference on Computational Linguistics, Language Resources
and Evaluation (LREC-COLING 2024), pages 2844–2851, Torino, Italia. ELRA and
ICCL. %(https://aclanthology.org/2024.lrec-main.253/)
-- W. Thorne, A. Robinson, B. Peng, C. Lin, D. Maynard (2024) Increasing the
Difficulty of Automatically Generated Questions via Reinforcement Learning with
Synthetic Preference. Proc oftThe 4th International Conference on Natural
Language Processing for Digital Humanities – NLP4DH 2024. %(arXiv preprint
https://arxiv.org/pdf/2410.08289)
+- W. Thorne, A. Robinson, B. Peng, C. Lin, D. Maynard (2024) Increasing the
Difficulty of Automatically Generated Questions via Reinforcement Learning with
Synthetic Preference. Proc oftThe 4th International Conference on Natural
Language Processing for Digital Humanities – NLP4DH 2024.
%(https://arxiv.org/pdf/2410.08289, arXiv pre-print)
%3* Pre-print
-- Leite, J. A., Razuvayevskaya, O., Bontcheva, K., & Scarton, C. (2024)
EUvsDisinfo: a Dataset for Multilingual Detection of Pro-Kremlin Disinformation
in News Articles %(arXiv preprint arXiv:2406.12614)
+- Leite, J. A., Razuvayevskaya, O., Bontcheva, K., & Scarton, C. (2024)
EUvsDisinfo: a Dataset for Multilingual Detection of Pro-Kremlin Disinformation
in News Articles %(https://arXiv:2406.12614, arXiv pre-print)
- Freddy Heppell, Mehmet E. Bakir, Kalina Bontcheva (2024) Lying Blindly:
Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims
at Scale %(https://arxiv.org/abs/2402.08467)
- Y Mu, P Bai, K Bontcheva, X Song. (2024) Addressing Topic Granularity and
Hallucination in Large Language Models for Topic Modelling
%(https://arxiv.org/pdf/2405.00611)
-- Y. Jiang, T. Wang, X. Xu, Y. Wang, X. Song & D. Maynard (2024). Cross-Modal
Augmentation for Few-Shot Multimodal Fake News Detection. %(arXiv preprint
arXiv:2407.12880)
+- Y. Jiang, T. Wang, X. Xu, Y. Wang, X. Song & D. Maynard (2024). Cross-Modal
Augmentation for Few-Shot Multimodal Fake News Detection. %(arXiv:2407.12880,
arXiv pre-print)
%3* Other
- J. Reid, J. Posetti, D. Maynard, N. Shabbir, D.K. Hapal (2024). The women
journalists of South Africa’s Daily Maverick: SEXUALIZED, SILENCED AND LABELED
SATAN. International Center for Journalists.
https://www.icfj.org/sites/default/files/2024-08/ICFJ_BigData_Carmen_v11.pdf
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